Dingo MCP Server

import re from dingo.config.input_args import EvaluatorRuleArgs from dingo.io import Data from dingo.model.model import Model from dingo.model.modelres import ModelRes from dingo.model.rule.base import BaseRule @Model.rule_register('QUALITY_BAD_RELEVANCE', ['test']) class CommonPatternDemo(BaseRule): """let user input pattern to search""" dynamic_config = EvaluatorRuleArgs(pattern = "blue") @classmethod def eval(cls, input_data: Data) -> ModelRes: res = ModelRes() matches = re.findall(cls.dynamic_config.pattern, input_data.content) if matches: res.error_status = True res.type = cls.metric_type res.name = cls.__name__ res.reason = matches return res if __name__ == '__main__': from dingo.config import InputArgs from dingo.exec import Executor input_data = { "input_path": "../../test/data/test_local_json.json", "dataset": { "source": "local", "format": "json", "field": { "content": "prediction" } }, "executor": { "rule_list": ['CommonPatternDemo'] } } input_args = InputArgs(**input_data) executor = Executor.exec_map["local"](input_args) result = executor.execute() print(result)